Characteristics of Coke Research Report Data
Coke research report data primarily comes from public reports from domestic industry associations, commodity exchanges, leading securities firms’ energy and chemical research teams, and spot traders. Update cycles fall into three categories: spot daily reports are updated daily, weekly supply and demand weekly reports are released each week, and special in-depth research reports are published irregularly based on industry developments.
Document structures typically include core supply and demand data (production capacity, output, port inventory, unit: ten thousand tons), spot and futures prices (unit: yuan per ton), changes in downstream steel and chemical industry demand, and relevant environmental protection and industrial policies. Some reports also include quality indicator parameters such as coke sulfur content and ash content.
Constraints on Deployment and Upgrade
The high-frequency updates of spot reports require configuring scheduled incremental synchronization task rules during deployment, to avoid full repeated loading that consumes server resources. Long-text special research reports require adjusting document parsing segmentation and timeout parameters, to prevent context truncation that loses core logic.
Coke research reports contain exclusive quality indicators such as sulfur content and ash content. During deployment, ensure that knowledge base parsing rules retain non-general fields, to prevent key information from being automatically filtered.
Differences in data formats across multiple sources require adapting to new report templates during upgrades, while also ensuring compatibility with interface call specifications of different data sources to avoid synchronization interruptions.
Recommended Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 100 MB | Single coke special research report volume typically does not exceed 80 MB, with reasonable upload buffer space reserved |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Long-text in-depth research reports take longer to parse, to avoid mid-process timeout interruptions |
Segment Length | 1000–1500 characters | Core supply and demand paragraphs in coke research reports are moderately sized, and segmentation preserves complete data logic |
Recall Count | Top 8–10 entries | Coke industry supply and demand logic is closely linked, requiring sufficient relevant data to support accurate responses |
Similarity Threshold | 0.75–0.85 | Coke industry data has strong correlation, filtering low-relevance redundant recall results |
Incremental Sync Interval | Every 4 hours | Spot research report data requires high-frequency synchronization, balancing data timeliness and server load |
The parameter values provided on this page are all conventional recommendations, serving as a starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Symptom: Empty results when calling a local Ollama model. Cause: Failure to correctly map the local Ollama port in FastGPT container configuration, or failure to fill in the correct Ollama service access address.
- Symptom: Prolonged blank loading when accessing the deployed FastGPT address. Cause: Server firewall not allowing traffic on port 3000, or insufficient container memory allocation causing front-end resource loading failure.
- Symptom: Failed calls to a configured third-party large model API key. Cause: Failure to correctly fill in the full API key content on the model configuration page, or the service corresponding to the key has been suspended.
How to Verify Successful Configuration
- Upload a test coke research report, check if the parsed text fully retains core content such as supply and demand data and quality indicators, confirming that document parsing configuration is active.
- Manually trigger an incremental synchronization task, review synchronization logs for successfully loaded research report records, confirming that scheduled synchronization rule configuration is correct.
- Call the configured large model, input a query related to the coke industry, check if returned results link to research report content in the knowledge base, confirming that the recall and question answering pipeline is functioning properly.
- View container runtime logs, confirm there are no port conflict or insufficient memory errors, confirming that deployment environment configuration is correct.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.